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Paper Citation Record · LEDGER

Doubly Robust Fusion of Many Treatments for Policy Learning

As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2505.08092.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.08092 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:10:54.391250Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T16:29:35.376833Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T16:31:08.602092Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a2ef45b-7c5d-4c99-8335-1ba8b6a4e81c · outbound

This paper cites write newline.

Doubly Robust Fusion of Many Treatments for Policy Learning write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-15T22:10:54.131328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.131328Z digest=sha256:1f1b1f2bd9bf2fc292263f82c3111b064bb89ff221ace329a4f16e4ae5a343ef

Observation 6e18fa39-5dd9-4f5a-98de-ec98160f26ad · outbound

This paper cites Synthetic combinations: A causal inference framework for combinatorial interventions.

Doubly Robust Fusion of Many Treatments for Policy Learning Synthetic combinations: A causal inference framework for combinatorial interventions

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.181826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.137131Z digest=sha256:2ba1a80a35754623c571be12a960c4bfe8041667c251346213c9aa145f9aa8d8

Observation 17f9d1f5-a862-4755-951c-add2923340a3 · outbound

This paper cites Bayesian Off-Policy Evaluation and Learning for Large Action Spaces.

Doubly Robust Fusion of Many Treatments for Policy Learning Bayesian Off-Policy Evaluation and Learning for Large Action Spaces

Reference 3

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unresolved
no resolver link, observed 2026-08-15T22:10:54.142312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.142312Z digest=sha256:e768a968935acda17a003cd753ebb134f4e71840a928d49dd69e64dbffce2abe

Observation 9d3829c3-eb03-4dc9-ae35-f3807ee3770e · outbound

This paper cites and Wager, S.

Doubly Robust Fusion of Many Treatments for Policy Learning and Wager, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.168450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.147171Z digest=sha256:af42fd6c14947af325c948561c88b82032920dea1fe26877c90024131bf8357c

Observation dc3ccf94-f3b0-4cf1-8359-940b7f57957c · outbound

This paper cites Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research.

Doubly Robust Fusion of Many Treatments for Policy Learning Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Reference 5

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unresolved
no resolver link, observed 2026-08-15T22:10:54.151760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.151760Z digest=sha256:2bb15c5a8694502e37679c172b2ae8eacb18d04c72dd4f5cb534793e3f1c74b2

Observation f96ecdbc-30a2-4016-a488-a1826c8dbe0f · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:55.155823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.157077Z digest=sha256:997fc722d29f45d831ee97d09796bc2e0ecdf784a77204f3fe4a15a108c96b12

Observation 6b44a4d8-310e-469b-a20f-33b49f2d2df9 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:55.142260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.161457Z digest=sha256:34442c234926f6bbb8805710084561849aa53462669001e64bf293ae784d6960

Observation b076198c-fc47-48ac-a6ab-3e470befb55c · outbound

This paper cites Deep jump learning for off-policy evaluation in continuous treatment settings.

Doubly Robust Fusion of Many Treatments for Policy Learning Deep jump learning for off-policy evaluation in continuous treatment settings

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.130177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.165899Z digest=sha256:01a9cd545f7ffe63e2ce5daaa0b9601e979599050e42c480f767ba07f00b0030

Observation a4cc3a1d-e52b-4289-8e0c-016eec9fd767 · outbound

This paper cites Robust Offline Policy Learning with Observational Data from Multiple Sources.

Doubly Robust Fusion of Many Treatments for Policy Learning Robust Offline Policy Learning with Observational Data from Multiple Sources

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:54.170714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.170714Z digest=sha256:3112428a8c144857680b28d23d74e9fb13e4bdfe35c494b97d6ded3d9855b89e

Observation 39c4b920-fd21-4beb-ad69-d4318f2f92c1 · outbound

This paper cites Estimation of a non-parametric variable importance measure of a continuous exposure.

Doubly Robust Fusion of Many Treatments for Policy Learning Estimation of a non-parametric variable importance measure of a continuous exposure

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.117374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.175894Z digest=sha256:7cfc79e59337f14413a93301b4250ff69835cc407b31e9a79cca135d31278c19

Observation ebba8b33-1826-4f28-ac1c-c23190aa3722 · outbound

This paper cites and Chen, Z.

Doubly Robust Fusion of Many Treatments for Policy Learning and Chen, Z

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.104791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.180658Z digest=sha256:be965d37dd32f8fea96fdfcb16f7ada74aa0635f986fe297455493ec94a3fadd

Observation ec1bf5e7-d341-4593-be85-96165f58d11f · outbound

This paper cites and Yang, S.

Doubly Robust Fusion of Many Treatments for Policy Learning and Yang, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.092056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.185595Z digest=sha256:eb7af1dda23f6de2991331259e20a735a6510e2cfb43ad6a7713912485067aa3

Observation 0b18b3ad-52ed-4415-b4b0-3268bd7e62a6 · outbound

This paper cites Semi-parametric efficient policy learning with continuous actions.

Doubly Robust Fusion of Many Treatments for Policy Learning Semi-parametric efficient policy learning with continuous actions

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.078652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.190039Z digest=sha256:865e6e3804b357316907e79fff6afe0d071c2c1e74f9959245c889a9cc8d67f5

Observation 0cb32656-7b0e-4b6f-9340-a675bd939635 · outbound

This paper cites Targeted optimal treatment regime learning using summary statistics.

Doubly Robust Fusion of Many Treatments for Policy Learning Targeted optimal treatment regime learning using summary statistics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.066027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.194239Z digest=sha256:89606f2270619cc73f064c2087e4eacaa0c07c90ea501281d5d94a85cdf1aacc

Observation a7ef2dc8-79bc-4086-988d-adea39c74910 · outbound

This paper cites and Read, T.

Doubly Robust Fusion of Many Treatments for Policy Learning and Read, T

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.052661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.198632Z digest=sha256:28825d70bdc91b29efc09865abdc217e766ad58727a88d10e7df9dfea3f755e8

Observation b3f90738-7362-4c23-97c1-f40db1fde18d · outbound

This paper cites S., and van der Laan, M.

Doubly Robust Fusion of Many Treatments for Policy Learning S., and van der Laan, M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.039697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.202713Z digest=sha256:93c834f902c27032679102961d96aea15046b58178c600d6f5b080f958442bfc

Observation c52618a9-9d51-4119-b668-9c32b53294d9 · outbound

This paper cites Causal customer churn analysis with low-rank tensor block hazard model.

Doubly Robust Fusion of Many Treatments for Policy Learning Causal customer churn analysis with low-rank tensor block hazard model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:55.026950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.206663Z digest=sha256:c93b0c3f75bb1f27d302004da98bad4ef8bb7ba06a11c07157f5ff38cedfebcd

Observation f6ba9259-4972-4a00-969f-497620525271 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:55.013715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.210715Z digest=sha256:af3dbcf2786edc3cd7b5cb80873cf2588262f7dd22bd6c210398388113734cbb

Observation 000a54c1-08cf-4b66-9db1-ead6391d0413 · outbound

This paper cites Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates.

Doubly Robust Fusion of Many Treatments for Policy Learning Flexible inference of optimal individualized treatment strategy in covariate adjusted randomization with multiple covariates

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.214625Z digest=sha256:a01126ac70f5ef5c891ecfc84db2f7ab2836effc7390b8d7bc6d8402b8f47948

Observation d9752c71-2e37-4e46-aa4f-ec7be94b7831 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-15T22:10:54.988076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.219063Z digest=sha256:8beace9c0dfdd4894a6a2ef6e9a7c2bb8750c0a57341d0213ea31aa5021616f0

Observation 0de06d08-744b-4071-852a-ffb64fcd544b · outbound

This paper cites J., and Silva, R.

Doubly Robust Fusion of Many Treatments for Policy Learning J., and Silva, R

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.222896Z digest=sha256:01e851a63cebcdf43e0693832fe2aa4e2e4e2db73385378c3740d543da1668eb

Observation 036445f0-6f7d-488e-90fe-f04a9098a1a8 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.962207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.227078Z digest=sha256:b17fd939e3932f421764d1e7dd9da0bc7359f4d9efef5078bdbd4984bae4b3fc

Observation 1afc846a-3ca7-4bed-b2b7-4117d628e489 · outbound

This paper cites Improving trial generalizability using observational studies.

Doubly Robust Fusion of Many Treatments for Policy Learning Improving trial generalizability using observational studies

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.949580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.231801Z digest=sha256:a947b94d33ff1a273b5b60bfd9525cb84345b029abf12d5d187787a3e4716f33

Observation 901cda09-6a74-4be3-8a6a-20093023b94f · outbound

This paper cites Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms.

Doubly Robust Fusion of Many Treatments for Policy Learning Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.937213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.236254Z digest=sha256:0355f0fb1873d0e45c777d5678194548af67d33084579707ad3821dc5e51c343

Observation a2571569-62cd-45f0-9d8a-de89712e7f5a · outbound

This paper cites A., and Zhao, Y.-Q.

Doubly Robust Fusion of Many Treatments for Policy Learning A., and Zhao, Y.-Q

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.924729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.240474Z digest=sha256:df2225058e16205c6017b16ca170b7d6be80d7c2e90797cf6cd9b849d5cb04d4

Observation c846f6f3-70e8-44f8-bed7-1c6fa4e116ae · outbound

This paper cites Learning individualized treatment rules with many treatments: A supervised clustering approach using adaptive fusion.

Doubly Robust Fusion of Many Treatments for Policy Learning Learning individualized treatment rules with many treatments: A supervised clustering approach using adaptive fusion

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.911420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.244616Z digest=sha256:abdd58137bf0f31229c6a2f477d6856c29156b4ee1bebe3bb8a0e7db52ef1a7b

Observation 9ba6c867-1378-44a1-82c8-1fe8a7f2126d · outbound

This paper cites Learning optimal group-structured individualized treatment rules with many treatments.

Doubly Robust Fusion of Many Treatments for Policy Learning Learning optimal group-structured individualized treatment rules with many treatments

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.898057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.248461Z digest=sha256:f9dd1d92c270b10d5f50a8c0390c20ac387a1e5925f290bfbb33b1fcc7d307e1

Observation 301f6ca1-5d25-440d-806a-fa7033a0f396 · outbound

This paper cites and Huang, J.

Doubly Robust Fusion of Many Treatments for Policy Learning and Huang, J

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.885617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.253510Z digest=sha256:f08b6917805d3f6d7a50f4ee0da003f91cea206b689eac480a49e07dd624a0ae

Observation e25367da-247c-430d-b2fe-4ff4eae7a153 · outbound

This paper cites J., and Baxi, S.

Doubly Robust Fusion of Many Treatments for Policy Learning J., and Baxi, S

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.872656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.258245Z digest=sha256:4a3f431743cc34aaa4f75b8ab42992f646ae528ecff09b98eba878568da0f013

Observation 3fbef7ba-451b-48b4-aa07-98ed93a7c802 · outbound

This paper cites G., Morstatter, F., Galstyan, A., and Ver Steeg, G.

Doubly Robust Fusion of Many Treatments for Policy Learning G., Morstatter, F., Galstyan, A., and Ver Steeg, G

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.859980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.262616Z digest=sha256:b82767ec99cb0035792cb3e511fe42279ae1c27b83f986b8b1b5903574fbfc50

Observation 368fe949-4e7f-4131-b486-9c5f546f426c · outbound

This paper cites Learning optimal distributionally robust individualized treatment rules.

Doubly Robust Fusion of Many Treatments for Policy Learning Learning optimal distributionally robust individualized treatment rules

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.847494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.266993Z digest=sha256:db0190278effe29676ded96cb3308fd8b6c521fd5472285e7926f400ed04e200

Observation ff13b7c3-4b12-4f59-b2fe-d6c3f2c2dad6 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.834666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.271169Z digest=sha256:2e0caab505d20e3299269a096b60a38e58fb690c1fc7dced1f6833a5d1eea6a0

Observation ffcbdbfc-8f80-44e6-a127-50bd52bc1aa2 · outbound

This paper cites Zero-shot causal learning.

Doubly Robust Fusion of Many Treatments for Policy Learning Zero-shot causal learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.821763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.275356Z digest=sha256:66d611e722d5d09447c5612ea2d337b7c692878612a58e2bca04cd8bed1e21d2

Observation 37fe2355-8151-49b9-8f8e-4bb737f44bad · outbound

This paper cites Learning robust decision policies from observational data.

Doubly Robust Fusion of Many Treatments for Policy Learning Learning robust decision policies from observational data

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.808990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.280318Z digest=sha256:66be8624d2803a3cd1a3049680e9b3c0f0970d388d6a46bb55b2f25f0f1bd19c

Observation 4591d4f6-85fb-4c69-a0fe-0fd9b682d9f5 · outbound

This paper cites Offline policy evaluation in large action spaces via outcome-oriented action grouping.

Doubly Robust Fusion of Many Treatments for Policy Learning Offline policy evaluation in large action spaces via outcome-oriented action grouping

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.795226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.285073Z digest=sha256:eb2c86049f18c7b433af5f56d402b4589faa61a1ad20e967f2c895da8bc6aabc

Observation 671e271e-baed-42b4-8aba-8d0fdff39ffd · outbound

This paper cites and Liu, Y.

Doubly Robust Fusion of Many Treatments for Policy Learning and Liu, Y

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.781435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.289175Z digest=sha256:0afa969f748304c487af44c71d26c9ac6054cdcfbe8018c48f0e60f2a691e11f

Observation 1f49ca14-a652-4f75-823b-4e3fe00d5bb2 · outbound

This paper cites and Murphy, S.

Doubly Robust Fusion of Many Treatments for Policy Learning and Murphy, S

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.766992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.292938Z digest=sha256:6c76917e3aa9eb432c1dff087f24cc2488cbc7736f584126a5a53de3c440c0ca

Observation 5563c1c1-da1d-463d-a3b9-73543c13858c · outbound

This paper cites U., Luckett, D.

Doubly Robust Fusion of Many Treatments for Policy Learning U., Luckett, D

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.753064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.297314Z digest=sha256:94b3b0742aeeeed7780360b90d053fd04442b93a773aef32096af337a14b94e7

Observation 6ae57dbc-b4d6-40b8-bd3f-4fde90728c6f · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.740060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.301277Z digest=sha256:5591c0fe1fed96bf63dd7d324f3307b121498ff0e9e65b4c7e7cff4427462545

Observation 354a1aaa-0ab2-469e-b489-b0e08f1c2535 · outbound

This paper cites Off-policy evaluation for large action spaces via policy convolution.

Doubly Robust Fusion of Many Treatments for Policy Learning Off-policy evaluation for large action spaces via policy convolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.726909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.305120Z digest=sha256:adf9e150e147152229bde40f26b2741433c66c541b72285bd5d513d918be457e

Observation 54337d81-027a-4769-99b1-4d6246b5189a · outbound

This paper cites and Joachims, T.

Doubly Robust Fusion of Many Treatments for Policy Learning and Joachims, T

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.713716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.309747Z digest=sha256:43e71f799bfc27469c32e0efa97540fedb00421b91c3914eddc8763f374d1169

Observation 8c828afd-3cf0-4ee0-a155-bee894c1e5a7 · outbound

This paper cites Off-policy evaluation for large action spaces via conjunct effect modeling.

Doubly Robust Fusion of Many Treatments for Policy Learning Off-policy evaluation for large action spaces via conjunct effect modeling

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.700465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.314214Z digest=sha256:ab4aded2a9f8393d8c83596df1267d54bc18c83634e8b35e03957b9e23765221

Observation fa8087ac-1e4e-4cad-82a1-dd5aa73188fa · outbound

This paper cites Estimating the dimension of a model.

Doubly Robust Fusion of Many Treatments for Policy Learning Estimating the dimension of a model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:54.318415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.318415Z digest=sha256:0d175e8bf3d03428c0b323775543057778ccd447f00f850e69c5e332985907a6

Observation e8336817-11a0-4400-8633-767d60908af1 · outbound

This paper cites Reliable off-policy learning for dosage combinations.

Doubly Robust Fusion of Many Treatments for Policy Learning Reliable off-policy learning for dosage combinations

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.677262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.322577Z digest=sha256:093a07ce206a02e771897d25a87fedd8fffebc4dd83df1773b2797a008bc50c3

Observation ad1aac45-69e8-4d8e-be7d-6124965ac213 · outbound

This paper cites High-dimensional a-learning for optimal dynamic treatment regimes.

Doubly Robust Fusion of Many Treatments for Policy Learning High-dimensional a-learning for optimal dynamic treatment regimes

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.663244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.326849Z digest=sha256:67f78ec82796fa51699154df43eb467f0ba536380db4f41e59a44908e7967c7f

Observation d61c06c9-0d15-4318-bf88-889b38a68c60 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.649430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.330874Z digest=sha256:04991eafa9b9d34c99f5084f0112653945598b5d15e84143d363f5cb5afbe93f

Observation 44a41dec-35bc-4f75-82c0-fd5ea5a71017 · outbound

This paper cites F., Ton, J.-F., Cornish, R., Teh, Y.

Doubly Robust Fusion of Many Treatments for Policy Learning F., Ton, J.-F., Cornish, R., Teh, Y

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.636788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.334864Z digest=sha256:d5815c648c56abf940c1d6b42375fcbbdce4115d28f374b0fff9922b02ade555

Observation 03105379-96a1-447c-9dcd-6c339f903236 · outbound

This paper cites Sparsity and smoothness via the fused lasso.

Doubly Robust Fusion of Many Treatments for Policy Learning Sparsity and smoothness via the fused lasso

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.623540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.339134Z digest=sha256:af1dfaaee8e7d25246eb4c785659ca063c8a5ac28001b03b22ff17f0a22e4998

Observation 479a4e23-0270-436a-a1d5-4e57aa42349d · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.610204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.343264Z digest=sha256:d5c3194612bb9b964ca1a3b662a6e66970282bd814e583e0f2493d7e79e2d35e

Observation 0fb07fc4-5621-44c2-9cac-718b0a967d81 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.596030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.347339Z digest=sha256:6fb3ddfb9d88d653762d36bf6c64295e17fba76998b7e1d0e6d0e0644166ebb0

Observation 4067ae73-11b8-4156-b5b1-c27364241081 · outbound

This paper cites an unresolved cited work.

Doubly Robust Fusion of Many Treatments for Policy Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:10:54.582652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.351351Z digest=sha256:d55d7e67561a346509ceb211d7d5c28236b9d6c91333067072cfe9c83de2a00e

Observation 1df598b1-10b9-4699-b802-968d64a1e810 · outbound

This paper cites and Yang, S.

Doubly Robust Fusion of Many Treatments for Policy Learning and Yang, S

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.569192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.356258Z digest=sha256:9fb85f65b7c2ad7487efc989e1965e109e58351ebe5e0174919b457e7c59f42f

Observation 7d649f2b-9369-4381-bfbb-3568af8959cc · outbound

This paper cites Multi-label residual weighted learning for individualized combination treatment rule.

Doubly Robust Fusion of Many Treatments for Policy Learning Multi-label residual weighted learning for individualized combination treatment rule

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.554775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.360586Z digest=sha256:23da8931361e64d64d80b6ec30f8560cccc2a60577d80c6a96f7f93376624db7

Observation b2f515a1-6b1c-4496-bdeb-a0a043623501 · outbound

This paper cites Optimal individualized treatment rule for combination treatments under budget constraints.

Doubly Robust Fusion of Many Treatments for Policy Learning Optimal individualized treatment rule for combination treatments under budget constraints

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.540844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.364831Z digest=sha256:9e08492c486e27b675bbd1c6191f7fa7cf0edf4915e31f369b65c8e487077cae

Observation 41040300-5f7f-443a-9e54-9a1ce12217ba · outbound

This paper cites A., Laber, E.

Doubly Robust Fusion of Many Treatments for Policy Learning A., Laber, E

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:54.368840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.368840Z digest=sha256:6a81b9d1ff55f4514cef481d87e066cd3baa3f44ccfb5dc1d157b0637341b2ce

Observation eebfb737-fcb7-4d3a-8d1a-3724a4b658d3 · outbound

This paper cites B., Tsiatis, A., and Davidian, M.

Doubly Robust Fusion of Many Treatments for Policy Learning B., Tsiatis, A., and Davidian, M

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.519019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.373204Z digest=sha256:0764e8b4aa3c0bad7fd1d3a8c6ef53ac21a23369edecbed0382aabd64a34efae

Observation 87451a29-1477-44e8-a559-2a86d0e1321d · outbound

This paper cites Conformal off-policy prediction.

Doubly Robust Fusion of Many Treatments for Policy Learning Conformal off-policy prediction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.505057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.377768Z digest=sha256:c57526211abfbfa34daba7436282e12920b3fed7798b485ef2d66bb94e6da51a

Observation e7e85e29-461c-4c44-bfff-2e3caa5edab0 · outbound

This paper cites Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data.

Doubly Robust Fusion of Many Treatments for Policy Learning Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:54.381825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.381825Z digest=sha256:6ace49b20a33a8f8e37381a91b82f4b94295633083bb60e1c448533f3649f795

Observation cc25de91-3f61-48c9-b958-44f8816cae83 · outbound

This paper cites J., and Kosorok, M.

Doubly Robust Fusion of Many Treatments for Policy Learning J., and Kosorok, M

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T22:10:54.386504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:10:54.386504Z digest=sha256:b1176f3a13e0041f423333d705cd00de65d981f88bed6f04ccb0fea24df4a2a4

Observation 1ea3553c-01cf-4957-b606-831a16905bae · outbound

This paper cites Offline multi-action policy learning: Generalization and optimization.

Doubly Robust Fusion of Many Treatments for Policy Learning Offline multi-action policy learning: Generalization and optimization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:10:54.481473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T22:10:54.391250Z digest=sha256:7a92dd4557083e8c23c2272e65be0ec1a10f681a7aba8c8f9fc687513f39092a

Pith citing papers

Observation 265a6459-b970-43cf-a743-a8775d0c49d0 · inbound

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality cites this paper.

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality Doubly Robust Fusion of Many Treatments for Policy Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:31:08.607944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-09T16:29:35.376833Z digest=sha256:c98ddebb18bf58bfffb71a14883c7e2a9365344416cccf09acee679923bef242